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Avis et commentaires pour d'étudiants pour Digital Marketing Analytics in Practice par Université de l'Illinois à Urbana-Champaign

2,988 évaluations
647 avis

À propos du cours

Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Students will learn to identify the web analytic tool right for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data from the web; and utilize data in decision making for agencies, organizations or clients. Digital Analytics for Marketing Professionals: Marketing Analytics in Practice is the second in a two-part series of complementary courses and focuses on the skills and practical abilities analysts need to be successful in today's digital business world. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and

Meilleurs avis

7 août 2020

Thoroughly enjoyable "journey" for this course. The syllabus was great, very well structured, thus easy to follow. Each module, including honors, can easily be completed in a day if you have the time.

31 août 2020

thoroughly enjoyed the course. A big thanks to Instructor Kevin hartman for this perfectly organized course. Materials were on point and easy to understand. Got entirely new observations on analytics.

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551 - 575 sur 632 Avis pour Digital Marketing Analytics in Practice

par Angeline M

5 févr. 2019

For a foundational course, it was very, very good. The only thing I would have wished was to be Hands on with R as well as Tableau. It would have really made me 150% happy with the price that I was paying. Maybe it is the timing. Maybe it is a way to motivate ourselves to learn it.

I do like the fact that he protected us from getting banned from certain sites through free api access But, all in all, it was very nice. I really, really wanted to get hands on what analytics but i will go to other platforms where it is alot less costly or free to learn the things that I havent here.

par Priti M

19 déc. 2017

Overall the course Digital Analytics in Practice touched many aspects of digital analytics web world but I found the course a lot theoretical even though it says "in practice". The It was like a constant puzzle to gulp lot of information on types, channels and methods of analyizing data at a given video without actually practicing literally. An assignment would have been better to make the videos understand better. To be honest this is the only course I am not confident about amongst all the three courses I have taken so far.

par Andrew S

22 mars 2016

I was somewhat disappointed in this course as I expected much more "practice". The assignments did not have you actually perform any analytics activities. The course materials seem very out of date considering how much things change in the digital age. Reading Blogger posts from 2006 on a Blogger blog that hasn't been updated since 2012 is not forward thinking in my view. Yes, things don't always change, but the face of analytics changes daily.

par Rishabh G

24 mai 2020

I do not understand that even after completing the entire 6 courses i Specialization, I am unable to access the Capstone. And there is no help available at all.

Rest of the things are good in the course. Excellent faculty and material.

Suggestion: we should add as an activity- A blog/article writing to be published on Coursera page.

Hands-on analytics exercise is must for a set of data pool. You may also include google analytics data class.

par Ivan R

15 janv. 2021

Quiet interesting presentation of everything, I was impressed at first and graded 5 stars, however, after just one lesson of Prof. Mike Yao in Digital Media and Marketing Strategies I got better understanding of research and data then I got from both courses of Prof. Kevin Hartman. Course is still very good, defiantly worth seeing, but it's lacks in practical explanations so you are kind of still in a fog after it.

par Rujin Z

18 févr. 2021

leanred the 4 steps in a data project: campaign goal, data collection methods and types of data. Analysis process (descriptive, inferential, exploratory, causal, predictive - most difficult). Better storytelling/visualization skillsets.

Prospect of digital marketing and dangers/concerns of digital marketing.

But overall more practice in analytical mindsets would be even better!! Thank you professor

par Becky R

16 févr. 2021

I learned much in the Theory course, and was excited to get the DM Analytics in Practice. However, there was no real hands on experience, as I expected to experience. Weeks 1 & 2 were interesting, but the topics in Weeks 3 & 4 felt like filler material- no substance. What a let-down after 5+ weeks of great information. This course should have been called Theory, Part 2.

par Veronica L

3 déc. 2019

It is good intro of concepts and models for digital analysis. However I do hope to see more in depth knowledge about data, models or even more examples of how to conduct a good marketing analysis. Really wish to see more real business cases/examples of how a professional does marketing analysis using big data.

par Deleted A

19 juil. 2017

Preface: audited course. Like the Theory course, this Practice course is heavy on referencing articles and blog posts for students to read. The slides are useful however the videos don't add substantially more insight. Course is more about introducing students to the data analysis process. Ok for a beginner.

par Himanshu M

28 nov. 2020

I was very excited to do this course when I had read about it. But when I actually started to learn, that time I was quite disappointed with this. Because they did not provided more practical examples, and the syllabus was almost repeated . But that's fine it also helped me to learned many things.

par Luca J

15 juil. 2020

I didn't know much about this topic at the beginning so it was too hard for me to understand. I don't really understand why it is part of the specialization. However the lectures were understandable and nicely explained.

par Vikram A

20 déc. 2015

Marketing Analytics in theory was much more enriching than this one. It would be great if tutors can add practical examples to show how marketing analytics is actually performed it would have been great.

par Andrew O

4 févr. 2018

I'd have liked an exercise where you take some dataset from some company and actually apply this. I felt the exercises were a bit easy. This isn't the sort of thing you learn or apply via essay.

par Krisztina F

21 juil. 2016

Even though the theoretical part was well put together, case study questions were too vague and should have been better thought out. This part of the specialization did not meet my expectation.

par Asfandyar S

30 déc. 2018

The course material was not detailed. It was way to high level to understand the concepts. As compared to the previous 2 courses in the whole specialization, this needs to be improved.

par Priya V

21 janv. 2019

In comparison to skills, updated information & value of certification that Google's Academy provides, this is not so good. Information is outdated by atleast 4 years on an average.

par Jennifer B

5 mars 2017

This course was a let down. There wasn't enough practical or real world examples to practice with. Good candidates would have been software companies in the SaaS space.


20 juin 2020

The course was fine, but I wanted to see more practical ways like the instructor showed google trends. More tools hands-on should have been discussed.

par joy

20 juin 2018

Overall the course is good however don't have much practical excercise, also personally feel is a bit short for data analytics learning.

par Saumya T

5 juin 2020

I was expecting some data analysis techniques as well. Please statistics also such as the use of regression, inferential, etc.

par Devon M

6 déc. 2016

This is very much a primer. I was hoping it would go into more detail than it did, but I did find it a very helpful overview.

par Shalakha P

15 mars 2016

The course is very informative for those interested in data analytic and want to go for market research kind of jobs.

par Pedro C

26 oct. 2016

Presents a useful analysis framework, but with limited practical examples to learn how to use analytical tools.

par Rick

26 mars 2019

This course is very light on actual practical application of analytics. It's more theory than anything.

par Khushkool K

26 juin 2017

Good course material. It should focus more on the tools rather than the theory part of it.